Data-independent acquisition combined with liquid chromatography mass spectrometry technique to detect prognostic protein markers in type I gastric neuroendocrine neoplasm.
Rapid Commun Mass Spectrom
; 38(16): e9849, 2024 Aug 30.
Article
in En
| MEDLINE
| ID: mdl-38887896
ABSTRACT
RATIONALE This study used proteomics-based data-independent acquisition (DIA) technology with the aim of screening for differential expression proteins in type I gastric neuroendocrine neoplasm (g-NEN). METHODS:
Differential expression proteins in type I g-NEN and peritumoral tissues were screened using DIA with liquid chromatography/tandem mass spectrometry (DIA-LC/MS/MS). The identified proteins were then functionally analysed using bioinformatics methods. We selected the three most highly expressed proteins, combined with patients' clinical data, for prognostic analysis.RESULTS:
Compared with peritumoral tissues, 224 proteins were up-regulated, and 70 were down-regulated. The most significantly enriched biological processes and pathways were vacuolar proton-transporting V-type ATPase complex assembly and metabolism-related pathways. PCSK1, FBXO2, ACSL1, IRS2, and PTPRZ1 expression was markedly up-regulated in type I g-NENs. High IRS2 expression significantly correlated with a shorter time to recurrence.CONCLUSIONS:
Our study provides a comprehensive proteomic signature based on DIA-LC/MS/MS and highlights high IRS2 expression as a potential prognostic marker for type I gNENs.
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Stomach Neoplasms
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Biomarkers, Tumor
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Neuroendocrine Tumors
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Proteomics
/
Tandem Mass Spectrometry
Limits:
Adult
/
Aged
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Female
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Humans
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Male
/
Middle aged
Language:
En
Journal:
Rapid Commun Mass Spectrom
Year:
2024
Document type:
Article
Affiliation country:
Country of publication: